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Network Construction for Bearing Fault Diagnosis Based on Double Attention Mechanism
Aiming at the difficulty of feature extraction in the case of multicomponent and strong noise in the traditional rolling bearing fault diagnosis method, this paper proposes a bearing fault diagnosis network with double attention mechanism. The original signal with noise is decomposed into a series o...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637037/ https://www.ncbi.nlm.nih.gov/pubmed/36345476 http://dx.doi.org/10.1155/2022/3987480 |